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Jonas Olsson

Swedish Meteorological and Hydrological Institute

Sweden

  • Swedish Meteorological and Hydrological Institute

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Scholarly Papers (1)

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DeepPolSARFlood: A Generalizable Optimized Deep Learning Framework for Clear-Cut Flood Delineation from PolSAR Data

Number of pages: 32 Posted: 17 Jan 2026
Solmaz Khazaei Moughani, Zahra Kalantari, Liangchao Zou, Fernando Jaramillo, Carla S. S. Ferreira, Khabat Khosravi, Jonas Olsson and Rares Halbac Cotoară-Zamfir
affiliation not provided to SSRN, Stockholm University, Royal Institute of Technology (KTH), affiliation not provided to SSRN, Polytechnic Institute of Coimbra, Razi University, Swedish Meteorological and Hydrological Institute and affiliation not provided to SSRN
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Abstract:

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Polarimetric SAR, Metaheuristic algorithms, Feature selection, Flood detection, Nested-UNet, deep learning, Semantic segmentation